# MCP Task Management Server

> Use this tool when you need to manage complex tasks with multiple stakeholders and custom workflows, enabling AI assistants to efficiently track and update tasks during conversations. It solves problems of disorganized task assignments and unclear task statuses, providing a comprehensive interface for inputting task details and outputting real-time updates. Ideal for use in conversational AI systems requiring robust task management capabilities.

Canonical page: https://skillsregistry.net/skills/jimfisher-mcp-tasks  
JSON: https://api.skillsregistry.net/v1/skills/jimfisher-mcp-tasks

## Description

Enables comprehensive task management with groups, custom statuses, and task relationships, designed for AI assistants to manage tasks during conversations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rcyvzqvx8v)
- **Repository:** <https://github.com/jimfisher/mcp-tasks>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jimfisher-mcp-tasks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jimfisher-mcp-tasks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jimfisher-mcp-tasks/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt